Gameberry needed a reliable source of truth for their data. They had spent countless hours combing through their own data and cross-referencing this with their internal numbers, the network numbers, and their marketing dashboard numbers. They needed a way to measure their marketing data accurately, without the need to constantly second guess.
They approached Adjust and were able to quickly get their app set up for attribution. They received one-to-one support from the integrations team to map out in-app events, ensuring they were measuring the entire app funnel.
Adjust’s solution engineering team was instrumental in us getting started with Adjust and they eradicated any technical difficulties we thought we might experience through the process. They were there with us every step of the way.
Quickly after integrating, Gameberry launched their first test campaigns, testing whether they would experience the same discrepancies and also whether they were measuring all the data points they needed to further elevate their marketing.
Gameberry created a custom event for their main KPI - first-time purchase. They used this to measure the success of all their paid marketing and ensure that they were at a minimum, breaking even with all their campaigns, and also running campaigns on the channels that converted the most first-time purchase users.
“Before integrating with Adjust, we looked at the attribution landscape and no other provider was offering dedicated support like Adjust. Their support team added tremendous value for us while getting the integration set up. We had a dedicated team, which made getting started with them so much easier”
After cross referencing data across all the dashboards they were using, they saw that the Adjust numbers added up and reported accurately. Adjust proved to be the most reliable source of truth.
Custom events, cohort analysis, retention metrics, Revenue and ROI - all these metrics are readily available in Adjust’s flexible dashboard, just pick and choose what you want to see and it’s easily available.
With unreliable historical data, Gameberry didn’t have metrics to refer to for their previous paid campaigns.
To ensure the accuracy of data, Gameberry created their own internal sanity check benchmark based on 10,000 paying users from organic channels, and calculated their D0, D1, and D7 revenues to check all the incoming data through the new paid campaigns. They utilized the Adjust revenue cohorts and could easily see their ROAS on D0, D1, and D7. They used the cohort reporting to compare organic users against their paid counterparts, and optimized their campaigns accordingly.
With Adjust’s unlimited lookback window, they were able to go beyond the standard 30 days that their network partners provided, enabling Gameberry to create a more accurate LTV calculation and also predictive modeling. They also used this to track the user behaviour long-term and understand at which stage users tended to churn, and when they tended to spend more money in the game.